The Philosophy Course for Chatbots: This AI Research Explores the Behavior of LLMs

In conclusion, the focus shifts to understanding how dialogue agents behave in role-playing scenarios and the various characters they can imitate.

However, it is important to recognize that LLM-based dialogue agents differ significantly from human beings in several respects.

By using alternative metaphors, such as seeing dialogue agents as role-players or combinations of simulations, we can better comprehend and discuss their behavior.

This chapter ends with a conclusion: dialogue agents based on LLM possess the ability to simulate human-like conversations, but they differ greatly from actual human language users.

Using different metaphors offer different perspectives on understanding the behavior of dialogue agents and have their own distinct advantages.

The focus here, however, continues to be on understanding what dialogue agents are capable of doing in real-life scenarios

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